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How Is AI Used in Network
Management and Optimization?
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With predictive analytics, AI can anticipate failures, such as a router trending toward overload or a link nearing its capacity limit and recommend or automate corrective action. This helps prevent downtime and improves user experience.
AI is also central to intent-based networking, where the system understands business objectives (for example, prioritizing voice traffic or isolating a potential threat) and automatically applies the right policies. The result is a more resilient, self-optimizing network that requires less manual intervention from IT teams.
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Modern, Secure Networking
Enhance your network capabilities while prioritizing security and compliance.
- Modernize network infrastructure to meet evolving digital needs.
- Optimize the functionality and security of your network architecture.
- Ensure robust cybersecurity and compliance management for regulated and non-regulated industries.
AIOps Delivers High-performing, Reliable IT Infrastructure
Artificial intelligence for IT operations (AIOps) empowers IT administrators to automate the provisioning and maintenance of their IT infrastructure—whether residing on-premises, in the cloud, or in a hybrid environment—enabling them to maintain peak performance and automatically take corrective action when problems arise.
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